AI and Data Workflows
Practical applications of AI, Python, R, machine learning and automation for scientific and professional work.
- Research workflows
- Data analysis
- AI agents
Practical AI, data science and biology for research, work and human progress. NtiriLab translates scientific thinking and emerging technologies into practical workflows, books and credible proof of work.
Research-led ideas. Practical tools. Credible work.
Practical applications of AI, Python, R, machine learning and automation for scientific and professional work.
Molecular biology, plant biochemistry, proteomics, bioinformatics and scientific communication.
Resources for graduates and skilled professionals adapting to a changing labour market.
Fiction, nonfiction, scientific guides and children's literature by Dr. K. Ntiri.
A machine-learning project exploring protein-sequence representations and stress-related protein prediction.
A comparative bioinformatics workflow for predicted peroxisomal targeting signals and orthology relationships across plant and algal proteomes.
A structured learning repository containing notebooks, scripts, datasets, model cards and reproducible project resources.
Reusable systems for literature analysis, scientific writing, research planning, meetings and professional documentation.
Early-stage exploration of protein-based agricultural technologies and AI-supported decision systems.
Fiction, career development, artificial intelligence, science and stories for children.
Rebuilding career direction in the age of AI
A novel of memory, family and consequence
A family divided by prophecy and distance
The GHOST Operating System for Safe, Profitable AI Agents
Distinct editorial identities connected by one founder and a commitment to practical honesty.
Practical AI systems for scientists, researchers and ambitious learners.
Honest conversations about migration, work, opportunity and everyday life abroad.
src/assets.Dr. Ebenezer Ntiriakwa is a plant biochemist, molecular biology and proteomics researcher, data science and AI practitioner, author and educator based in Hamburg, Germany.
Through NtiriLab, he connects scientific research with practical artificial intelligence, professional development, publishing and responsible entrepreneurship.
Read the full story →Why employability increasingly depends on translating education into demonstrable skill, credible proof and useful outcomes.
A practical framework for keeping sources, human judgement, validation and reproducibility visible when using language models.
Instead of automating everything, record repeated friction and rank opportunities by frequency, cost, risk and evidence.
The final stage of a book project should test trim size, margins, page numbering, image quality, spine clearance and barcode space as one system.